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EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?

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Manage episode 508378265 series 3470198
Content provided by Everyday AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everyday AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI scraping vs. the open web. Who wins? 🥊
Let's say the quiet part out loud: AI companies have trained their models for years on your company's website data, regardless of if you want them to.
Fast forward to today: many publishers have lost up to 70% of website traffic (and huge chunks of revenue) because of this.
So what happens if some of these publications.... die? Then the AI companies have fewer, human-created source material to train future models on.
Rut roh.
Maybe the Really Simple Licensing protocol can save us all.
We talk with RSL Collective Co-founder Doug Leeds on if a new licensing structure can be a win-win-win for publishers, AI companies and end users.
You don't wanna miss this one. 👇

EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:

  1. The Open Web Threat from AI Overviews
  2. Decline in Website Traffic Due to AI
  3. Problems with Current Web Content Licensing
  4. Doug Leeds’ Publishing Industry Background
  5. Introduction to Really Simple Licensing (RSL)
  6. How RSL Web Standard Enables Licensing
  7. RSL Collective Blanket License Model
  8. Impact of RSL on AI Search Results
  9. Big Publishers’ Participation in RSL Collective
  10. Benefits for AI Companies Licensing Content
  11. Addressing AI Hallucinations with Licensed Data
  12. Collective Enforcement Against Content Scraping
  13. Legal and Economic Sustainability for Publishers

Timestamps:
00:00 "Threat to the Open Web?"

06:08 "Edgar Walter's Web Innovations"

09:10 "RSL Collective: Unified Web Licensing"

12:37 "Join RSL Collective Initiative"

15:56 RSL Collective: Monetizing Content Access

19:47 "RSL Collective: AI Publishing Solution?"

20:34 Human-Led Training Enhances AI Quality

23:52 "Sustainable AI: A Hopeful Future"

Keywords:
Really Simple Licensing, RSL, open web, AI licensing, content licensing, online publishing, search engines, AI overviews, large language models, content rights, machine readable licenses, robots.txt, AI web crawlers, content monetization, publisher ecosystem, website traffic, ASCAP model, collective rights organization, AI abstracts, blanket license, RSL Collective, creative commons

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

  continue reading

620 episodes

Artwork
iconShare
 
Manage episode 508378265 series 3470198
Content provided by Everyday AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Everyday AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

AI scraping vs. the open web. Who wins? 🥊
Let's say the quiet part out loud: AI companies have trained their models for years on your company's website data, regardless of if you want them to.
Fast forward to today: many publishers have lost up to 70% of website traffic (and huge chunks of revenue) because of this.
So what happens if some of these publications.... die? Then the AI companies have fewer, human-created source material to train future models on.
Rut roh.
Maybe the Really Simple Licensing protocol can save us all.
We talk with RSL Collective Co-founder Doug Leeds on if a new licensing structure can be a win-win-win for publishers, AI companies and end users.
You don't wanna miss this one. 👇

EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn
Topics Covered in This Episode:

  1. The Open Web Threat from AI Overviews
  2. Decline in Website Traffic Due to AI
  3. Problems with Current Web Content Licensing
  4. Doug Leeds’ Publishing Industry Background
  5. Introduction to Really Simple Licensing (RSL)
  6. How RSL Web Standard Enables Licensing
  7. RSL Collective Blanket License Model
  8. Impact of RSL on AI Search Results
  9. Big Publishers’ Participation in RSL Collective
  10. Benefits for AI Companies Licensing Content
  11. Addressing AI Hallucinations with Licensed Data
  12. Collective Enforcement Against Content Scraping
  13. Legal and Economic Sustainability for Publishers

Timestamps:
00:00 "Threat to the Open Web?"

06:08 "Edgar Walter's Web Innovations"

09:10 "RSL Collective: Unified Web Licensing"

12:37 "Join RSL Collective Initiative"

15:56 RSL Collective: Monetizing Content Access

19:47 "RSL Collective: AI Publishing Solution?"

20:34 Human-Led Training Enhances AI Quality

23:52 "Sustainable AI: A Hopeful Future"

Keywords:
Really Simple Licensing, RSL, open web, AI licensing, content licensing, online publishing, search engines, AI overviews, large language models, content rights, machine readable licenses, robots.txt, AI web crawlers, content monetization, publisher ecosystem, website traffic, ASCAP model, collective rights organization, AI abstracts, blanket license, RSL Collective, creative commons

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

  continue reading

620 episodes

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